Total N: 89
Total Females: 45
Total Males: 44
Mean: 16.1583808
SD: 4.6679792
Total N: 28
Total Females: 14
Total Males: 14
Mean: 11.0380626
SD: 1.2411494
Total N: 31
Total Females: 16
Total Males: 15
Mean: 15.3458241
SD: 1.1924818
Total N: 30
Total Females: 15
Total Males: 15
Mean: 21.7769863
SD: 2.1306152
Total Asian: 22
Total Black/African American: 11
Total Caucasian/White: 34
Total Mixed Race: 21
Total Native American: 1
Total Did Not Report: 0
Total Hispanic: 14
Total Not Hispanic: 75
Total Did Not Report: 0
For plots color-coded by Linear Age (Scaled): [-1, 0, 1] (roughly) maps to [middle-aged child participant, middle-aged adolescent participant, middle-aged adult participant]
Median: -0.0213472
Best-fitting generalized linear mixed-effects model:
learning_acc_intercept <- glmer(correctresponses ~ instanceScaled * StimRewardType * ageScaled + instanceScaled * StimRewardType * ageScaledsq + RewardCat + (1|subID), family = binomial, control = glmerControl(optimizer = "bobyqa", optCtrl = list(maxfun=1e6)), contrasts = list(StimRewardType = "contr.sum", RewardCat = "contr.sum"), data = combined_stats)
## Data: combined_stats
## Models:
## learning_acc_agelin: correctresponses ~ instanceScaled * StimRewardType * ageScaled +
## learning_acc_agelin: RewardCat + (1 | subID)
## learning_acc_agesq: correctresponses ~ instanceScaled * StimRewardType * ageScaled +
## learning_acc_agesq: instanceScaled * StimRewardType * ageScaledsq + RewardCat +
## learning_acc_agesq: (1 | subID)
## npar AIC BIC logLik deviance Chisq Df Pr(>Chisq)
## learning_acc_agelin 14 12778 12885 -6374.8 12750
## learning_acc_agesq 20 12775 12928 -6367.5 12735 14.699 6 0.02273 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Analysis of Deviance Table (Type III Wald chisquare tests)
##
## Response: correctresponses
## Chisq Df Pr(>Chisq)
## (Intercept) 188.6897 1 < 2.2e-16 ***
## instanceScaled 230.1553 1 < 2.2e-16 ***
## StimRewardType 30.9717 2 1.882e-07 ***
## ageScaled 26.2841 1 2.947e-07 ***
## ageScaledsq 3.6664 1 0.055521 .
## RewardCat 0.4307 1 0.511627
## instanceScaled:StimRewardType 9.7812 2 0.007517 **
## instanceScaled:ageScaled 30.3191 1 3.665e-08 ***
## StimRewardType:ageScaled 2.1142 2 0.347460
## instanceScaled:ageScaledsq 4.0696 1 0.043662 *
## StimRewardType:ageScaledsq 0.8538 2 0.652540
## instanceScaled:StimRewardType:ageScaled 1.8437 2 0.397784
## instanceScaled:StimRewardType:ageScaledsq 5.1871 2 0.074755 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
| Predictors | Chisq | Df | P-value |
|---|---|---|---|
| (Intercept) | 188.68970 | 1 | 0.00000 |
| Trial Number | 230.15534 | 1 | 0.00000 |
| Stimulus Type | 30.97171 | 2 | 0.00000 |
| Linear Age | 26.28412 | 1 | 0.00000 |
| Quadratic Age | 3.66636 | 1 | 0.05552 |
| High-Reward Source Image Category | 0.43074 | 1 | 0.51163 |
| Trial Number*Stimulus Type | 9.78118 | 2 | 0.00752 |
| Trial Number*Linear Age | 30.31914 | 1 | 0.00000 |
| Stimulus Type*Linear Age | 2.11421 | 2 | 0.34746 |
| Trial Number*Quadratic Age | 4.06959 | 1 | 0.04366 |
| Stimulus Type*Quadratic Age | 0.85376 | 2 | 0.65254 |
| Trial NumberStimulus TypeLinear Age | 1.84369 | 2 | 0.39778 |
| Trial NumberStimulus TypeQuadratic Age | 5.18707 | 2 | 0.07476 |
| Predictors | Estimate | Standard Error | Z-value | P-value |
|---|---|---|---|---|
| (Intercept) | 2.13972 | 0.15577 | 13.73644 | 0.00000 |
| Trial Number | 0.54874 | 0.03617 | 15.17087 | 0.00000 |
| Stimulus Type (High) | -0.24422 | 0.04934 | -4.95015 | 0.00000 |
| Stimulus Type (Low) | -0.00023 | 0.05041 | -0.00457 | 0.99636 |
| Linear Age | 0.58397 | 0.11391 | 5.12680 | 0.00000 |
| Quadratic Age | -0.21394 | 0.11173 | -1.91477 | 0.05552 |
| High-Reward Source Image Category (Face) | 0.07052 | 0.10745 | 0.65631 | 0.51163 |
| Trial Number*Stimulus Type (High) | 0.11709 | 0.04908 | 2.38569 | 0.01705 |
| Trial Number*Stimulus Type (Low) | 0.03567 | 0.05017 | 0.71097 | 0.47711 |
| Trial Number*Linear Age | 0.13438 | 0.02440 | 5.50628 | 0.00000 |
| Stimulus Type (High)*Linear Age | -0.03353 | 0.03363 | -0.99675 | 0.31889 |
| Stimulus Type (Low)*Linear Age | -0.01709 | 0.03401 | -0.50264 | 0.61522 |
| Trial Number*Quadratic Age | -0.05001 | 0.02479 | -2.01732 | 0.04366 |
| Stimulus Type (High)*Quadratic Age | 0.03010 | 0.03410 | 0.88270 | 0.37740 |
| Stimulus Type (Low)*Quadratic Age | -0.02190 | 0.03454 | -0.63405 | 0.52605 |
| Trial NumberStimulus Type (High)Linear Age | 0.03782 | 0.03347 | 1.12982 | 0.25855 |
| Trial NumberStimulus Type (Low)Linear Age | 0.00559 | 0.03386 | 0.16497 | 0.86897 |
| Trial NumberStimulus Type (High)Quadratic Age | -0.04371 | 0.03383 | -1.29204 | 0.19634 |
| Trial NumberStimulus Type (Low)Quadratic Age | -0.03797 | 0.03429 | -1.10732 | 0.26816 |
Best-fitting generalized linear mixed-effects model without new stimuli:
learning_acc_nonew_intercept <- glmer(correctresponses ~ instanceScaled * StimRewardType * ageScaled + instanceScaled * StimRewardType * ageScaledsq + RewardCat + (1|subID), family = binomial, control = glmerControl(optimizer = "bobyqa", optCtrl = list(maxfun=1e6)), contrasts = list(StimRewardType = "contr.sum", RewardCat = "contr.sum"), data = combined_stats_nonew)
## Analysis of Deviance Table (Type III Wald chisquare tests)
##
## Response: correctresponses
## Chisq Df Pr(>Chisq)
## (Intercept) 153.3133 1 < 2.2e-16 ***
## instanceScaled 208.6293 1 < 2.2e-16 ***
## StimRewardType 8.1294 1 0.004355 **
## ageScaled 24.3466 1 8.047e-07 ***
## ageScaledsq 2.4139 1 0.120261
## RewardCat 0.2908 1 0.589679
## instanceScaled:StimRewardType 0.9208 1 0.337265
## instanceScaled:ageScaled 30.5287 1 3.290e-08 ***
## StimRewardType:ageScaled 0.0950 1 0.757929
## instanceScaled:ageScaledsq 8.4790 1 0.003593 **
## StimRewardType:ageScaledsq 0.7297 1 0.392994
## instanceScaled:StimRewardType:ageScaled 0.3310 1 0.565097
## instanceScaled:StimRewardType:ageScaledsq 0.0073 1 0.932127
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
| Predictors | Chisq | Df | P-value |
|---|---|---|---|
| (Intercept) | 153.31331 | 1 | 0.00000 |
| Trial Number | 208.62927 | 1 | 0.00000 |
| Stimulus Type | 8.12936 | 1 | 0.00436 |
| Linear Age | 24.34660 | 1 | 0.00000 |
| Quadratic Age | 2.41392 | 1 | 0.12026 |
| High-Reward Source Image Category | 0.29085 | 1 | 0.58968 |
| Trial Number*Stimulus Type | 0.92080 | 1 | 0.33726 |
| Trial Number*Linear Age | 30.52872 | 1 | 0.00000 |
| Stimulus Type*Linear Age | 0.09499 | 1 | 0.75793 |
| Trial Number*Quadratic Age | 8.47903 | 1 | 0.00359 |
| Stimulus Type*Quadratic Age | 0.72966 | 1 | 0.39299 |
| Trial NumberStimulus TypeLinear Age | 0.33095 | 1 | 0.56510 |
| Trial NumberStimulus TypeQuadratic Age | 0.00725 | 1 | 0.93213 |
| Predictors | Estimate | Standard Error | Z-value | P-value |
|---|---|---|---|---|
| (Intercept) | 1.99933 | 0.16147 | 12.38198 | 0.00000 |
| Trial Number | 0.61721 | 0.04273 | 14.44400 | 0.00000 |
| Stimulus Type (High) | -0.11995 | 0.04207 | -2.85120 | 0.00436 |
| Linear Age | 0.58333 | 0.11822 | 4.93423 | 0.00000 |
| Quadratic Age | -0.18013 | 0.11594 | -1.55368 | 0.12026 |
| High-Reward Source Image Category (Face) | 0.06010 | 0.11144 | 0.53930 | 0.58968 |
| Trial Number*Stimulus Type (High) | 0.04019 | 0.04188 | 0.95958 | 0.33726 |
| Trial Number*Linear Age | 0.16053 | 0.02905 | 5.52528 | 0.00000 |
| Stimulus Type (High)*Linear Age | -0.00888 | 0.02881 | -0.30820 | 0.75793 |
| Trial Number*Quadratic Age | -0.08430 | 0.02895 | -2.91188 | 0.00359 |
| Stimulus Type (High)*Quadratic Age | 0.02454 | 0.02873 | 0.85420 | 0.39299 |
| Trial NumberStimulus Type (High)Linear Age | 0.01652 | 0.02871 | 0.57529 | 0.56510 |
| Trial NumberStimulus Type (High)Quadratic Age | -0.00244 | 0.02859 | -0.08517 | 0.93213 |
Best-fitting generalized linear mixed-effects model:
learning_rt_intercept <- lmer(rt ~ instanceScaled * StimRewardType * ageScaled + instanceScaled * StimRewardType * ageScaledsq + RewardCat + (1|subID), control = lmerControl(optimizer = "bobyqa", optCtrl = list(maxfun=1e6)), contrasts = list(StimRewardType = "contr.sum", RewardCat = "contr.sum"), data = combined_stats)
## Analysis of Deviance Table (Type III Wald chisquare tests)
##
## Response: rt
## Chisq Df Pr(>Chisq)
## (Intercept) 572.9908 1 < 2.2e-16 ***
## instanceScaled 465.5776 1 < 2.2e-16 ***
## StimRewardType 14.6703 2 0.0006522 ***
## ageScaled 3.3848 1 0.0658017 .
## ageScaledsq 4.4005 1 0.0359290 *
## RewardCat 1.3106 1 0.2522846
## instanceScaled:StimRewardType 3.3495 2 0.1873507
## instanceScaled:ageScaled 4.7754 1 0.0288686 *
## StimRewardType:ageScaled 2.5720 2 0.2763773
## instanceScaled:ageScaledsq 13.5671 1 0.0002302 ***
## StimRewardType:ageScaledsq 6.5819 2 0.0372189 *
## instanceScaled:StimRewardType:ageScaled 0.5036 2 0.7774166
## instanceScaled:StimRewardType:ageScaledsq 9.3999 2 0.0090957 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
| Predictors | Chisq | Df | P-value |
|---|---|---|---|
| (Intercept) | 572.99081 | 1 | 0.00000 |
| Trial Number | 465.57760 | 1 | 0.00000 |
| Stimulus Type | 14.67032 | 2 | 0.00065 |
| Linear Age | 3.38476 | 1 | 0.06580 |
| Quadratic Age | 4.40047 | 1 | 0.03593 |
| High-Reward Source Image Category | 1.31061 | 1 | 0.25228 |
| Trial Number*Stimulus Type | 3.34955 | 2 | 0.18735 |
| Trial Number*Linear Age | 4.77543 | 1 | 0.02887 |
| Stimulus Type*Linear Age | 2.57198 | 2 | 0.27638 |
| Trial Number*Quadratic Age | 13.56714 | 1 | 0.00023 |
| Stimulus Type*Quadratic Age | 6.58187 | 2 | 0.03722 |
| Trial NumberStimulus TypeLinear Age | 0.50356 | 2 | 0.77742 |
| Trial NumberStimulus TypeQuadratic Age | 9.39991 | 2 | 0.00910 |
| Predictors | Estimate | Standard Error | Df | Z-value | P-value |
|---|---|---|---|---|---|
| (Intercept) | 673.77582 | 28.14761 | 84.98589 | 23.93723 | 0.00000 |
| Trial Number | -72.89016 | 3.37810 | 15789.00721 | -21.57725 | 0.00000 |
| Stimulus Type (High) | 16.95137 | 4.76835 | 15789.00501 | 3.55497 | 0.00038 |
| Stimulus Type (Low) | -2.58905 | 4.76346 | 15789.00194 | -0.54352 | 0.58678 |
| Linear Age | -38.11150 | 20.71534 | 84.99342 | -1.83977 | 0.06929 |
| Quadratic Age | 42.55883 | 20.28804 | 84.99256 | 2.09773 | 0.03890 |
| High-Reward Source Image Category (Face) | -22.35735 | 19.52918 | 84.98997 | -1.14482 | 0.25550 |
| Trial Number*Stimulus Type (High) | -5.28181 | 4.78221 | 15789.02402 | -1.10447 | 0.26941 |
| Trial Number*Stimulus Type (Low) | -3.39336 | 4.77389 | 15789.01581 | -0.71082 | 0.47721 |
| Trial Number*Linear Age | -5.44425 | 2.49133 | 15789.01565 | -2.18528 | 0.02888 |
| Stimulus Type (High)*Linear Age | 1.24520 | 3.51736 | 15789.01750 | 0.35401 | 0.72333 |
| Stimulus Type (Low)*Linear Age | 4.13746 | 3.51448 | 15789.00673 | 1.17726 | 0.23911 |
| Trial Number*Quadratic Age | 8.96996 | 2.43527 | 15789.00586 | 3.68336 | 0.00023 |
| Stimulus Type (High)*Quadratic Age | -8.80154 | 3.44116 | 15789.01452 | -2.55773 | 0.01055 |
| Stimulus Type (Low)*Quadratic Age | 3.80810 | 3.43759 | 15789.00981 | 1.10778 | 0.26797 |
| Trial NumberStimulus Type (High)Linear Age | -1.71030 | 3.52432 | 15789.04342 | -0.48529 | 0.62748 |
| Trial NumberStimulus Type (Low)Linear Age | 2.43526 | 3.52364 | 15789.03123 | 0.69112 | 0.48950 |
| Trial NumberStimulus Type (High)Quadratic Age | 9.29205 | 3.44705 | 15789.04116 | 2.69565 | 0.00703 |
| Trial NumberStimulus Type (Low)Quadratic Age | -0.29352 | 3.44261 | 15789.02433 | -0.08526 | 0.93206 |
Best-fitting generalized linear mixed-effects model without new stimuli:
learning_rt_nonew_intercept <- lmer(rt ~ instanceScaled * StimRewardType * ageScaled + instanceScaled * StimRewardType * ageScaledsq + RewardCat + (1|subID), control = lmerControl(optimizer = "bobyqa", optCtrl = list(maxfun=1e6)), contrasts = list(StimRewardType = "contr.sum", RewardCat = "contr.sum"), data = combined_stats_nonew)
## Analysis of Deviance Table (Type III Wald chisquare tests)
##
## Response: rt
## Chisq Df Pr(>Chisq)
## (Intercept) 576.9664 1 < 2.2e-16 ***
## instanceScaled 343.1541 1 < 2.2e-16 ***
## StimRewardType 5.5104 1 0.01890 *
## ageScaled 2.8830 1 0.08952 .
## ageScaledsq 3.8482 1 0.04980 *
## RewardCat 1.2867 1 0.25665
## instanceScaled:StimRewardType 0.0517 1 0.82005
## instanceScaled:ageScaled 2.7274 1 0.09864 .
## StimRewardType:ageScaled 0.2230 1 0.63673
## instanceScaled:ageScaledsq 20.0591 1 7.509e-06 ***
## StimRewardType:ageScaledsq 4.4122 1 0.03568 *
## instanceScaled:StimRewardType:ageScaled 0.4649 1 0.49534
## instanceScaled:StimRewardType:ageScaledsq 2.5608 1 0.10954
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
| Predictors | Chisq | Df | P-value |
|---|---|---|---|
| (Intercept) | 576.96636 | 1 | 0.00000 |
| Trial Number | 343.15409 | 1 | 0.00000 |
| Stimulus Type | 5.51042 | 1 | 0.01890 |
| Linear Age | 2.88299 | 1 | 0.08952 |
| Quadratic Age | 3.84817 | 1 | 0.04980 |
| High-Reward Source Image Category | 1.28671 | 1 | 0.25665 |
| Trial Number*Stimulus Type | 0.05175 | 1 | 0.82005 |
| Trial Number*Linear Age | 2.72745 | 1 | 0.09864 |
| Stimulus Type*Linear Age | 0.22305 | 1 | 0.63673 |
| Trial Number*Quadratic Age | 20.05910 | 1 | 0.00001 |
| Stimulus Type*Quadratic Age | 4.41225 | 1 | 0.03568 |
| Trial NumberStimulus TypeLinear Age | 0.46491 | 1 | 0.49534 |
| Trial NumberStimulus TypeQuadratic Age | 2.56080 | 1 | 0.10954 |
| Predictors | Estimate | Standard Error | Df | Z-value | P-value |
|---|---|---|---|---|---|
| (Intercept) | 680.94508 | 28.34894 | 84.97405 | 24.02012 | 0.00000 |
| Trial Number | -77.20640 | 4.16782 | 10497.00946 | -18.52442 | 0.00000 |
| Stimulus Type (High) | 9.75794 | 4.15687 | 10497.00012 | 2.34743 | 0.01892 |
| Linear Age | -35.42598 | 20.86412 | 84.98628 | -1.69794 | 0.09318 |
| Quadratic Age | 40.08517 | 20.43415 | 84.98680 | 1.96168 | 0.05307 |
| High-Reward Source Image Category (Face) | -22.31115 | 19.66894 | 84.97950 | -1.13433 | 0.25984 |
| Trial Number*Stimulus Type (High) | -0.94814 | 4.16790 | 10497.02800 | -0.22749 | 0.82005 |
| Trial Number*Linear Age | -5.07682 | 3.07407 | 10497.01924 | -1.65150 | 0.09867 |
| Stimulus Type (High)*Linear Age | -1.44839 | 3.06681 | 10497.01627 | -0.47228 | 0.63674 |
| Trial Number*Quadratic Age | 13.45931 | 3.00516 | 10497.00131 | 4.47874 | 0.00001 |
| Stimulus Type (High)*Quadratic Age | -6.30271 | 3.00053 | 10497.01719 | -2.10053 | 0.03571 |
| Trial NumberStimulus Type (High)Linear Age | -2.09612 | 3.07420 | 10497.05723 | -0.68184 | 0.49535 |
| Trial NumberStimulus Type (High)Quadratic Age | 4.80925 | 3.00531 | 10497.05176 | 1.60025 | 0.10957 |
Best-fitting regression:
mem_regression_agesq <- lm(HighRewSourceMemBenefitDay2 ~ ageScaled + ageScaledsq + RewardCat, data = retData)
## Analysis of Variance Table
##
## Model 1: HighRewSourceMemBenefitDay2 ~ ageScaled + RewardCat
## Model 2: HighRewSourceMemBenefitDay2 ~ ageScaled + ageScaledsq + RewardCat
## Res.Df RSS Df Sum of Sq F Pr(>F)
## 1 86 0.57848
## 2 85 0.52733 1 0.051148 8.2445 0.005159 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = HighRewSourceMemBenefitDay2 ~ ageScaled + ageScaledsq +
## RewardCat, data = retData_withRewardCat)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.259162 -0.046011 -0.000952 0.059214 0.194452
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.012198 0.014957 0.816 0.41704
## ageScaled 0.010930 0.008919 1.226 0.22377
## ageScaledsq -0.025222 0.008784 -2.871 0.00516 **
## RewardCatPlaces -0.041920 0.016722 -2.507 0.01409 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.07876 on 85 degrees of freedom
## Multiple R-squared: 0.1412, Adjusted R-squared: 0.1109
## F-statistic: 4.658 on 3 and 85 DF, p-value: 0.004611
Best-fitting generalized linear mixed-effects model:
Quadratic age model did not converge.
Best-fitting generalized linear mixed-effects model without new stimuli:
learning_source_nonew_intercept <- glmer(correctresponses ~ instanceScaled * StimRewardType * ageScaled * HighRewSourceMemBenefitDay2 + instanceScaled * StimRewardType * ageScaledsq * HighRewSourceMemBenefitDay2 + RewardCat + (1|subID), family = binomial, control = glmerControl(optimizer = "bobyqa", optCtrl = list(maxfun=1e6)), contrasts = list(StimRewardType = "contr.sum", RewardCat = "contr.sum"), data = combined_stats_nonew)
## Analysis of Deviance Table (Type III Wald chisquare tests)
##
## Response: correctresponses
## Chisq
## (Intercept) 151.1378
## instanceScaled 211.8034
## StimRewardType 9.9123
## ageScaled 24.1065
## HighRewSourceMemBenefitDay2 0.1561
## ageScaledsq 1.0092
## RewardCat 0.1577
## instanceScaled:StimRewardType 0.5342
## instanceScaled:ageScaled 15.4828
## StimRewardType:ageScaled 0.0187
## instanceScaled:HighRewSourceMemBenefitDay2 7.0770
## StimRewardType:HighRewSourceMemBenefitDay2 2.4363
## ageScaled:HighRewSourceMemBenefitDay2 2.0082
## instanceScaled:ageScaledsq 8.7250
## StimRewardType:ageScaledsq 3.4989
## HighRewSourceMemBenefitDay2:ageScaledsq 0.0860
## instanceScaled:StimRewardType:ageScaled 0.3246
## instanceScaled:StimRewardType:HighRewSourceMemBenefitDay2 0.2737
## instanceScaled:ageScaled:HighRewSourceMemBenefitDay2 0.0000
## StimRewardType:ageScaled:HighRewSourceMemBenefitDay2 0.0000
## instanceScaled:StimRewardType:ageScaledsq 0.5469
## instanceScaled:HighRewSourceMemBenefitDay2:ageScaledsq 5.3235
## StimRewardType:HighRewSourceMemBenefitDay2:ageScaledsq 6.2008
## instanceScaled:StimRewardType:ageScaled:HighRewSourceMemBenefitDay2 0.0180
## instanceScaled:StimRewardType:HighRewSourceMemBenefitDay2:ageScaledsq 1.9671
## Df
## (Intercept) 1
## instanceScaled 1
## StimRewardType 1
## ageScaled 1
## HighRewSourceMemBenefitDay2 1
## ageScaledsq 1
## RewardCat 1
## instanceScaled:StimRewardType 1
## instanceScaled:ageScaled 1
## StimRewardType:ageScaled 1
## instanceScaled:HighRewSourceMemBenefitDay2 1
## StimRewardType:HighRewSourceMemBenefitDay2 1
## ageScaled:HighRewSourceMemBenefitDay2 1
## instanceScaled:ageScaledsq 1
## StimRewardType:ageScaledsq 1
## HighRewSourceMemBenefitDay2:ageScaledsq 1
## instanceScaled:StimRewardType:ageScaled 1
## instanceScaled:StimRewardType:HighRewSourceMemBenefitDay2 1
## instanceScaled:ageScaled:HighRewSourceMemBenefitDay2 1
## StimRewardType:ageScaled:HighRewSourceMemBenefitDay2 1
## instanceScaled:StimRewardType:ageScaledsq 1
## instanceScaled:HighRewSourceMemBenefitDay2:ageScaledsq 1
## StimRewardType:HighRewSourceMemBenefitDay2:ageScaledsq 1
## instanceScaled:StimRewardType:ageScaled:HighRewSourceMemBenefitDay2 1
## instanceScaled:StimRewardType:HighRewSourceMemBenefitDay2:ageScaledsq 1
## Pr(>Chisq)
## (Intercept) < 2.2e-16
## instanceScaled < 2.2e-16
## StimRewardType 0.001642
## ageScaled 9.115e-07
## HighRewSourceMemBenefitDay2 0.692781
## ageScaledsq 0.315090
## RewardCat 0.691264
## instanceScaled:StimRewardType 0.464843
## instanceScaled:ageScaled 8.326e-05
## StimRewardType:ageScaled 0.891267
## instanceScaled:HighRewSourceMemBenefitDay2 0.007808
## StimRewardType:HighRewSourceMemBenefitDay2 0.118555
## ageScaled:HighRewSourceMemBenefitDay2 0.156453
## instanceScaled:ageScaledsq 0.003139
## StimRewardType:ageScaledsq 0.061408
## HighRewSourceMemBenefitDay2:ageScaledsq 0.769309
## instanceScaled:StimRewardType:ageScaled 0.568871
## instanceScaled:StimRewardType:HighRewSourceMemBenefitDay2 0.600834
## instanceScaled:ageScaled:HighRewSourceMemBenefitDay2 0.995279
## StimRewardType:ageScaled:HighRewSourceMemBenefitDay2 0.996765
## instanceScaled:StimRewardType:ageScaledsq 0.459601
## instanceScaled:HighRewSourceMemBenefitDay2:ageScaledsq 0.021040
## StimRewardType:HighRewSourceMemBenefitDay2:ageScaledsq 0.012769
## instanceScaled:StimRewardType:ageScaled:HighRewSourceMemBenefitDay2 0.893245
## instanceScaled:StimRewardType:HighRewSourceMemBenefitDay2:ageScaledsq 0.160751
##
## (Intercept) ***
## instanceScaled ***
## StimRewardType **
## ageScaled ***
## HighRewSourceMemBenefitDay2
## ageScaledsq
## RewardCat
## instanceScaled:StimRewardType
## instanceScaled:ageScaled ***
## StimRewardType:ageScaled
## instanceScaled:HighRewSourceMemBenefitDay2 **
## StimRewardType:HighRewSourceMemBenefitDay2
## ageScaled:HighRewSourceMemBenefitDay2
## instanceScaled:ageScaledsq **
## StimRewardType:ageScaledsq .
## HighRewSourceMemBenefitDay2:ageScaledsq
## instanceScaled:StimRewardType:ageScaled
## instanceScaled:StimRewardType:HighRewSourceMemBenefitDay2
## instanceScaled:ageScaled:HighRewSourceMemBenefitDay2
## StimRewardType:ageScaled:HighRewSourceMemBenefitDay2
## instanceScaled:StimRewardType:ageScaledsq
## instanceScaled:HighRewSourceMemBenefitDay2:ageScaledsq *
## StimRewardType:HighRewSourceMemBenefitDay2:ageScaledsq *
## instanceScaled:StimRewardType:ageScaled:HighRewSourceMemBenefitDay2
## instanceScaled:StimRewardType:HighRewSourceMemBenefitDay2:ageScaledsq
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
| Predictors | Chisq | Df | P-value |
|---|---|---|---|
| (Intercept) | 151.13778 | 1 | 0.00000 |
| Trial Number | 211.80338 | 1 | 0.00000 |
| Stimulus Type | 9.91231 | 1 | 0.00164 |
| Linear Age | 24.10652 | 1 | 0.00000 |
| General Reward Source Memory | 0.15609 | 1 | 0.69278 |
| Quadratic Age | 1.00922 | 1 | 0.31509 |
| High-Reward Source Image Category | 0.15772 | 1 | 0.69126 |
| Trial Number*Stimulus Type | 0.53421 | 1 | 0.46484 |
| Trial Number*Linear Age | 15.48283 | 1 | 0.00008 |
| Stimulus Type*Linear Age | 0.01869 | 1 | 0.89127 |
| Trial Number*General Reward Source Memory | 7.07697 | 1 | 0.00781 |
| Stimulus Type*General Reward Source Memory | 2.43631 | 1 | 0.11855 |
| Linear Age*General Reward Source Memory | 2.00818 | 1 | 0.15645 |
| Trial Number*Quadratic Age | 8.72505 | 1 | 0.00314 |
| Stimulus Type*Quadratic Age | 3.49895 | 1 | 0.06141 |
| General Reward Source Memory*Quadratic Age | 0.08601 | 1 | 0.76931 |
| Trial NumberStimulus TypeLinear Age | 0.32458 | 1 | 0.56887 |
| Trial NumberStimulus TypeGeneral Reward Source Memory | 0.27374 | 1 | 0.60083 |
| Trial NumberLinear AgeGeneral Reward Source Memory | 0.00004 | 1 | 0.99528 |
| Stimulus TypeLinear AgeGeneral Reward Source Memory | 0.00002 | 1 | 0.99677 |
| Trial NumberStimulus TypeQuadratic Age | 0.54687 | 1 | 0.45960 |
| Trial NumberGeneral Reward Source MemoryQuadratic Age | 5.32352 | 1 | 0.02104 |
| Stimulus TypeGeneral Reward Source MemoryQuadratic Age | 6.20079 | 1 | 0.01277 |
| Trial NumberStimulus TypeLinear Age*General Reward Source Memory | 0.01801 | 1 | 0.89324 |
| Trial NumberStimulus TypeGeneral Reward Source Memory*Quadratic Age | 1.96715 | 1 | 0.16075 |
| Predictors | Estimate | Standard Error | Z-value | P-value |
|---|---|---|---|---|
| (Intercept) | 2.00702 | 0.16325 | 12.29381 | 0.00000 |
| Trial Number | 0.64288 | 0.04417 | 14.55347 | 0.00000 |
| Stimulus Type (High) | -0.13716 | 0.04357 | -3.14838 | 0.00164 |
| Linear Age | 0.67534 | 0.13755 | 4.90984 | 0.00000 |
| General Reward Source Memory | 0.93852 | 2.37550 | 0.39508 | 0.69278 |
| Quadratic Age | -0.13328 | 0.13267 | -1.00460 | 0.31509 |
| High-Reward Source Image Category (Face) | 0.04539 | 0.11429 | 0.39714 | 0.69126 |
| Trial Number*Stimulus Type (High) | 0.03162 | 0.04326 | 0.73090 | 0.46484 |
| Trial Number*Linear Age | 0.14337 | 0.03644 | 3.93482 | 0.00008 |
| Stimulus Type (High)*Linear Age | 0.00498 | 0.03644 | 0.13670 | 0.89127 |
| Trial Number*General Reward Source Memory | 1.62006 | 0.60899 | 2.66026 | 0.00781 |
| Stimulus Type (High)*General Reward Source Memory | -0.93768 | 0.60074 | -1.56087 | 0.11855 |
| Linear Age*General Reward Source Memory | 1.90960 | 1.34754 | 1.41710 | 0.15645 |
| Trial Number*Quadratic Age | -0.10156 | 0.03438 | -2.95382 | 0.00314 |
| Stimulus Type (High)*Quadratic Age | 0.06425 | 0.03435 | 1.87055 | 0.06141 |
| General Reward Source Memory*Quadratic Age | 0.43735 | 1.49123 | 0.29328 | 0.76931 |
| Trial NumberStimulus Type (High)Linear Age | 0.02055 | 0.03606 | 0.56972 | 0.56887 |
| Trial NumberStimulus Type (High)General Reward Source Memory | -0.31187 | 0.59609 | -0.52320 | 0.60083 |
| Trial NumberLinear AgeGeneral Reward Source Memory | 0.00217 | 0.36650 | 0.00592 | 0.99528 |
| Stimulus Type (High)Linear AgeGeneral Reward Source Memory | -0.00148 | 0.36589 | -0.00405 | 0.99677 |
| Trial NumberStimulus Type (High)Quadratic Age | 0.02514 | 0.03399 | 0.73950 | 0.45960 |
| Trial NumberGeneral Reward Source MemoryQuadratic Age | -0.86519 | 0.37498 | -2.30727 | 0.02104 |
| Stimulus Type (High)General Reward Source MemoryQuadratic Age | 0.92593 | 0.37184 | 2.49014 | 0.01277 |
| Trial NumberStimulus Type (High)Linear Age*General Reward Source Memory | -0.04866 | 0.36256 | -0.13420 | 0.89324 |
| Trial NumberStimulus Type (High)General Reward Source Memory*Quadratic Age | 0.51975 | 0.37057 | 1.40255 | 0.16075 |
Regressions:
HH_HHLH_regression <- lm(HH_HHLH_mean ~ ageScaled + reward_cat, data = test_graph)
HL_HLLL_regression <- lm(HL_HLLL_mean ~ ageScaled + reward_cat, data = test_graph)
##
## Call:
## lm(formula = HH_HHLH_mean ~ ageScaled + reward_cat, data = test_graph)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.55294 -0.27636 -0.04789 0.28187 0.63206
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.40975 0.05271 7.774 1.51e-11 ***
## ageScaled -0.03075 0.03727 -0.825 0.412
## reward_catscene 0.10812 0.07413 1.458 0.148
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.3496 on 86 degrees of freedom
## Multiple R-squared: 0.03219, Adjusted R-squared: 0.009685
## F-statistic: 1.43 on 2 and 86 DF, p-value: 0.2449
| Predictors | Estimate | Standard Error | T-value | P-value |
|---|---|---|---|---|
| (Intercept) | 0.40975 | 0.05271 | 7.77400 | 0.00000 |
| Linear Age | -0.03075 | 0.03727 | -0.82506 | 0.41162 |
| High-Reward Source Image Category (Place) | 0.10812 | 0.07413 | 1.45849 | 0.14835 |
##
## Call:
## lm(formula = HL_HLLL_mean ~ ageScaled + reward_cat, data = test_graph)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.54134 -0.25132 -0.01396 0.24320 0.59299
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.43590 0.04815 9.053 3.84e-14 ***
## ageScaled -0.01377 0.03405 -0.404 0.687
## reward_catscene 0.08974 0.06772 1.325 0.189
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.3193 on 86 degrees of freedom
## Multiple R-squared: 0.0221, Adjusted R-squared: -0.0006468
## F-statistic: 0.9716 on 2 and 86 DF, p-value: 0.3826
| Predictors | Estimate | Standard Error | T-value | P-value |
|---|---|---|---|---|
| (Intercept) | 0.43590 | 0.04815 | 9.05313 | 0.00000 |
| Linear Age | -0.01377 | 0.03405 | -0.40444 | 0.68689 |
| High-Reward Source Image Category (Place) | 0.08974 | 0.06772 | 1.32506 | 0.18866 |